We re seeking top talents for our AI engineering team to build and scale AI/ML solutions using LLMs, cloud platforms, and modern agentic frameworks for enterprise innovation. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. Come join us in reshaping the future!

As a Applied AI ML SeniorAssociate within Enterprise Technology team, you will be responsible to design, build and productionize ML and LLM powered systems that operate at scale across high-volume streams. You will work at the intersection of modeling, NLP and transformer architectures. This is a hands-on senior role requiring deep expertise in applied NLP, LLM integration, scalable ML systems and production grade engineering discipline.

This role offers a chance to collaborate with product managers, architects, data science and operational teams, while also engaging in software engineering communities to explore new and emerging technologies.

Job responsibilities

Design, develop, and troubleshoot scalable software solutions, applying creative and innovative approaches to solve complex technical challenges
Write secure, high-quality, production-ready code and maintain algorithms that integrate seamlessly with enterprise systems
Develop architecture and design artifacts for complex applications, ensuring adherence to design constraints and best practices throughout the SDLC
Build and deploy AI/ML solutions and agentic systems for LLM platforms using modern cloud architectures (Azure, AWS)
Bake in augmentation mechanisms leveraging legacy regular expressions for filtering and optimization
Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.

Required qualifications, capabilities, and skills

Graduate or Post Graduatedegree in Computer Science or equivalent experience with 8+ years of experience in build innovative AI/ML solutions
Strong foundation in Information Retrieval, Natural Language Processing
Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers
Operational experience in supporting an enterprise grade ML application in production
Experience with any of the MLOps frameworks such MLflow, Kubeflow
Implement cutting-edge GenAI services leveraging Azure OpenAI models and AWS Bedrock
Proficiency working with LLMs, creating agents with LangGraph
Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages. Experience with containerization.
Strong understanding of the Software Development Life Cycle
Proficiency in Python (FastAPI), Microservices, APIs, elastic compute, nosql databases, messaging queues
Strong knowledge of CI/CD pipelines, application resiliency, and security best practices

Preferred qualifications, capabilities, and skills

Knowledge of Databricks is nice to have

Familiarity with cloud platforms (Azure/AWS) and modern databases (NoSQL)
Experience building, debugging, and maintaining large-scale enterprise applications

Applied AI ML Senior Associate